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DBMS > InterSystems Caché vs. Lovefield vs. Quasardb vs. SQLite

System Properties Comparison InterSystems Caché vs. Lovefield vs. Quasardb vs. SQLite

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Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonLovefield  Xexclude from comparisonQuasardb  Xexclude from comparisonSQLite  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA multi-model DBMS and application serverEmbeddable relational database for web apps written in pure JavaScriptDistributed, high-performance timeseries databaseWidely used embeddable, in-process RDBMS
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websitewww.intersystems.com/­products/­cachegoogle.github.io/­lovefieldquasar.aiwww.sqlite.org
Technical documentationdocs.intersystems.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddoc.quasar.ai/­masterwww.sqlite.org/­docs.html
DeveloperInterSystemsGooglequasardbDwayne Richard Hipp
Initial release1997201420092000
Current release2018.1.4, May 20202.1.12, February 20173.14.1, January 20243.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++C
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariBSD
Linux
OS X
Windows
server-less
Data schemedepending on used data modelyesschema-freeyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes infonot rigid because of 'dynamic typing' concept.
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnonono
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternSQL-like query languageyes infoSQL-92 is not fully supported
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC#
C++
Java
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresyesnonono
TriggersyesUsing read-only observersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByes infoTransient modeyes
User concepts infoAccess controlAccess rights for users, groups and rolesnoCryptographically strong user authentication and audit trailno

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More resources
InterSystems CachéLovefieldQuasardbSQLite
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